The amniotic fluid proteome changes with gestational age in normal pregnancy: a cross-sectional study Article Swipe
Gaurav Bhatti
,
Roberto Romero
,
Nardhy Gomez‐Lopez
,
Tinnakorn Chaiworapongsa
,
Eunjung Jung
,
Francesca Gotsch
,
Roger Piqué-Regi
,
Percy Pacora
,
Chaur‐Dong Hsu
,
Mahendra Kavdia
,
Adi L. Tarca
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1038/s41598-021-04050-9
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1038/s41598-021-04050-9
The cell-free transcriptome in amniotic fluid (AF) has been shown to be informative of physiologic and pathologic processes in pregnancy; however, the change in AF proteome with gestational age has mostly been studied by targeted approaches. The objective of this study was to describe the gestational age-dependent changes in the AF proteome during normal pregnancy by using an omics platform. The abundance of 1310 proteins was measured on a high-throughput aptamer-based proteomics platform in AF samples collected from women during midtrimester (16–24 weeks of gestation, n = 15) and at term without labor (37–42 weeks of gestation, n = 13). Only pregnancies without obstetrical complications were included in the study. Almost 25% (320) of AF proteins significantly changed in abundance between the midtrimester and term gestation. Of these, 154 (48.1%) proteins increased, and 166 (51.9%) decreased in abundance at term compared to midtrimester. Tissue-specific signatures of the trachea, salivary glands, brain regions, and immune system were increased while those of the gestational tissues (uterus, placenta, and ovary), cardiac myocytes, and fetal liver were decreased at term compared to midtrimester. The changes in AF protein abundance were correlated with those previously reported in the cell-free AF transcriptome. Intersecting gestational age-modulated AF proteins and their corresponding mRNAs previously reported in the maternal blood identified neutrophil-related protein/mRNA pairs that were modulated in the same direction. The first study to utilize an aptamer-based assay to profile the AF proteome modulation with gestational age, it reveals that almost one-quarter of the proteins are modulated as gestation advances, which is more than twice the fraction of altered plasma proteins (~ 10%). The results reported herein have implications for future studies focused on discovering biomarkers to predict, monitor, and diagnose obstetrical diseases.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1038/s41598-021-04050-9
- https://www.nature.com/articles/s41598-021-04050-9.pdf
- OA Status
- gold
- Cited By
- 25
- References
- 113
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4205857029
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4205857029Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1038/s41598-021-04050-9Digital Object Identifier
- Title
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The amniotic fluid proteome changes with gestational age in normal pregnancy: a cross-sectional studyWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-01-12Full publication date if available
- Authors
-
Gaurav Bhatti, Roberto Romero, Nardhy Gomez‐Lopez, Tinnakorn Chaiworapongsa, Eunjung Jung, Francesca Gotsch, Roger Piqué-Regi, Percy Pacora, Chaur‐Dong Hsu, Mahendra Kavdia, Adi L. TarcaList of authors in order
- Landing page
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https://doi.org/10.1038/s41598-021-04050-9Publisher landing page
- PDF URL
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https://www.nature.com/articles/s41598-021-04050-9.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://www.nature.com/articles/s41598-021-04050-9.pdfDirect OA link when available
- Concepts
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Amniotic fluid, Obstetrics, Proteome, Pregnancy, Cross-sectional study, Gestational age, Medicine, Bioinformatics, Andrology, Fetus, Biology, Pathology, GeneticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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25Total citation count in OpenAlex
- Citations by year (recent)
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2025: 7, 2024: 6, 2023: 7, 2022: 5Per-year citation counts (last 5 years)
- References (count)
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113Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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